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Current File : C:/Python312/Lib/site-packages/pandas/core/reshape/__pycache__/util.cpython-312.pyc
�

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    Numpy version of itertools.product.
    Sometimes faster (for large inputs)...

    Parameters
    ----------
    X : list-like of list-likes

    Returns
    -------
    product : list of ndarrays

    Examples
    --------
    >>> cartesian_product([list('ABC'), [1, 2]])
    [array(['A', 'A', 'B', 'B', 'C', 'C'], dtype='<U1'), array([1, 2, 1, 2, 1, 2])]

    See Also
    --------
    itertools.product : Cartesian product of input iterables.  Equivalent to
        nested for-loops.
    z'Input must be a list-like of list-likesrc3�2K�|]}t|����y�w)N)�len)�.0�xs  �:C:\Python312\Lib\site-packages\pandas/core/reshape/util.py�	<genexpr>z$cartesian_product.<locals>.<genexpr>.s����*�1��A��*�s�)�dtypez+Product space too large to allocate arrays!����)r�	TypeErrorr	�np�fromiter�intp�cumprod�any�
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    Index compat for np.tile.

    Notes
    -----
    Does not support multi-dimensional `num`.
    )�
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